Recognition of cotton contaminants via X-ray microtomographic image analysis

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5 Scopus citations

Abstract

Technologies currently used for cotton contaminant assessment suffer from some fundamental limitations. These limitations result in the misassessment of the cotton quality, and have a serious impact on its economic value. Through our research, we have shown that x-ray microtomographic image analysis may be applied with a high degree of success to noninvasive evaluation of cotton for the recognition of contaminants. We believe that this procedure, when realized in real time, will have a serious impact on the cotton cleaning process, and indeed on the economic value of cotton.

Original languageEnglish
Pages (from-to)312-319
Number of pages8
JournalConference Record - IAS Annual Meeting (IEEE Industry Applications Society)
Volume1
StatePublished - 2002
Event37th IAS Annual Meeting and World Conference on Industrial applications of Electrical Energy - Pittsburgh, PA, United States
Duration: Oct 13 2002Oct 18 2002

Keywords

  • Cotton trash
  • Fuzzy classifier
  • Image analysis
  • Pattern classification
  • Volumetric data
  • X-ray tomography

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